Celso França
Orcid: 0000-0002-0251-7172
According to our database1,
Celso França authored at least 31 papers
between 2016 and 2026.
Collaborative distances:
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Bibliography
2026
"Call My Big Sibling (CMBS)" - A Confidence-Based Strategy Leveraging Instance Selection to Combine Small and Large Language Models for Cost-Effective Text Classification.
J. Braz. Comput. Soc., 2026
Bridging Citizens and Public Services: Improving Service Association with Retrieval-Augmented Generation (RAG) Labels.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026
2025
CoRR, July, 2025
Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems.
Inf. Process. Manag., 2025
Optimizing Tail-Head Trade-off for Extreme Multi-Label Text Classification (XMTC) with RAG-Labels and a Dynamic Two-Stage Retrieval and Fusion Pipeline.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Aprendizado Federado Incremental e Sensível ao Risco para Modelos de Ranqueamento em Cenários com Distribuições Heterogêneas de Dados.
Proceedings of the 40th Brazilian Symposium on Databases, 2025
Pondere e Expanda: Impacto e Limitações de Representações Contextual-Esparsas na Modelagem de Tópicos.
Proceedings of the 40th Brazilian Symposium on Databases, 2025
Muitas Classes Desbalanceadas? Não Classifique - Ranqueie! Uma Abordagem Baseada em Retrieval-Augmented Generation (RAG)-labels para Classificação Textual Multi-classe.
Proceedings of the 40th Brazilian Symposium on Databases, 2025
Quando os Erros Informam: Apoio ao Diagnóstico de Diabetes em Cenários de Alta Incerteza.
Proceedings of the 40th Brazilian Symposium on Databases, 2025
A Multi-Dimensional Comparative Study of Generative Adversarial Networks, Diffusion Models, and Statistical Methods for Synthetic Health Data Generation.
Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025
2024
IEEE Trans. Games, March, 2024
Pipelining Semantic Expansion and Noise Filtering for Sentiment Analysis of Short Documents - CluSent Method.
J. Interact. Syst., 2024
On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval.
Neurocomputing, 2024
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks.
CoRR, 2024
2023
Using Active Learning for Segmentation and Semantic Classification of Legal Acts Extracted from Official Diaries.
J. Inf. Data Manag., October, 2023
Contextual Reinforcement, Entity Delimitation and Generative Data Augmentation for Entity Recognition and Relation Extraction in Official Documents.
J. Inf. Data Manag., October, 2023
On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".
Inf. Process. Manag., 2023
A Comparative Survey of Instance Selection Methods applied to Non-Neural and Transformer-Based Text Classification.
ACM Comput. Surv., 2023
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method.
CoRR, 2023
CluSent - Combining Semantic Expansion and De-Noising for Dataset-Oriented Sentiment Analysis of Short Texts.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Uma Metodologia para Tratamento do Viés da Maioria em Modelos de Stacking via Identificação de Documentos Difíceis.
Proceedings of the 38th Brazilian Symposium on Databases, 2023
PromptNER: Uma Abordagem para Reconhecimento de Entidades Nomeadas em Dados Sensíveis a Partir de Instâncias Rotuladas Automaticamente.
Proceedings of the 38th Brazilian Symposium on Databases, 2023
2022
Segmentação e Classificação Semântica de Trechos de Diários Oficiais Usando Aprendizado Ativo.
Proceedings of the 37th Brazilian Symposium on Databases, 2022
Reforço e Delimitação Contextual para Reconhecimento de Entidades e Relações em Documentos Oficiais.
Proceedings of the 37th Brazilian Symposium on Databases, 2022
2021
On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study.
Inf. Process. Manag., 2021
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021
2017
IEEE Trans. Comput. Intell. AI Games, 2017
Evolutionary Music Composition for Digital Games Using Regent-Dependent Creativity Metric.
Proceedings of the 16th Brazilian Symposium on Computer Games and Digital Entertainment, 2017
Creative Flavor Pairing: Using RDC Metric to Generate and Assess Ingredients Combination.
Proceedings of the Eighth International Conference on Computational Creativity, 2017
2016
Regent-Dependent Creativity: A Domain Independent Metric for the Assessment of Creative Artifacts.
Proceedings of the Seventh International Conference on Computational Creativity, 2016